MiMo v2.6 Flash
MiMo v2.6 FlashAlternatives?
CheaperGPT-6 Lunaxhigh+9%-32%$0.042Function calling only with none · Chat Completions+3
OpenDeepSeek V4.1 Flash 1017max+10%+320%$0.26Memory (4-bit): 186 GB → 458 GB+5
CheaperLing 3.0 Flash VLthinkingOpen+8%-49%$0.06 / $0.18Context: 1M → 262KCheaperGPT-5.6 Lunahigh+6%-29%$0.044CheaperMiMo v2.5thinkingOpen+3%-69%$0.019GPT-6 Lunaxhigh+9%-32%$0.042Function calling only with none · Chat Completions+3Ling 3.0 Flash VLthinkingOpen+8%-49%$0.06 / $0.18Context: 1M → 262KGPT-5.6 Lunahigh+6%-29%$0.044MiMo v2.5thinkingOpen+3%-69%$0.019
Agnes 2.5 Pro Beta+3%-14%$0.10 / $0.30GPT-6 Lunalow+4%-93%$0.005Function calling only with none · Chat Completions+3GPT-5.6 Lunamedium+4%-75%$0.016MiMo v2.5thinkingOpen+3%-69%$0.019
Gemini 3.1 Flash Litehigh+3%-4%$0.06GPT-6.1 Sollow+14%+110%$0.13Remove unsupported parameters+5DeepSeek V4.1 Flash 1017maxOpen+10%+320%$0.26Memory (4-bit): 186 GB → 458 GB+5
Qwen3.8 FlashthinkingOpen+9%+497%$0.37Context: 1M → 262K+6Ling 3.0 Flash VLthinkingOpen+8%-49%$0.06 / $0.18Context: 1M → 262K
MiniMax M3thinkingOpen+8%+714%$0.51Context: 1M → 524K+3Qwen3.5 397B A17BthinkingOpen+6%+661%$0.47Context: 1M → 262K+1MiMo v2.5thinkingOpen+3%-69%$0.019MiMo v2 Omni 0327same——Context: 1M → 256KMiMo v2 Omnithinking-4%—$0.14 / $0.28Context: 1M → 262KMiMo v2.6 ProthinkingOpenn/a—$0.13Memory (4-bit): 186 GB → 615 GB+4MiMo v2.6 Pro UltraSpeedOpenn/a—$4.35 / $8.70Memory (4-bit): not verifiedMiMo v2.5 ProthinkingOpenn/a—$0.054Memory (4-bit): 186 GB → 614 GB+1MiMo VL 7B RL 2508Openn/a——Context: 1M → 128KMiMo VL 7B SFT 2508Openn/a——Context: 1M → 128KAll Xiaomi models →Run it yourself
estimateWatch out 4
Pass back reasoning_content›
In deep-thinking multi-turn tool conversations, return the full reasoning_content in later rounds with tool calls or receive HTTP 400. Source ↗
Forced recommended defaults›
Deep thinking overrides supplied temperature and top_p with 1.0 and 0.95. Source ↗
Avoid answer truncation›
max_completion_tokens includes thinking and the final answer; reserve enough tokens to avoid truncating the answer. Source ↗
MOPD checkpoints address tool-call repetition›
Use the MOPD checkpoints for the tool-call repetition fix; the API has served the updated models since September 25 at 06:00 UTC+8 under unchanged names. Source ↗
FAQ
How much does MiMo v2.6 Flash cost?›
$0.14 per 1M input tokens and $0.28 per 1M output tokens; cached input $0.003 per 1M; cheapest via Relace at $0.03 / $0.08. A typical benchmark task costs about $0.062 at default effort.
Is MiMo v2.6 Flash free to use?›
There is no free API; the cheapest paid price is $0.03 per 1M input tokens. The weights are open, so you can run it yourself.
How good is MiMo v2.6 Flash, and what is it best at?›
#61 of 334 in Chat & Knowledge, #27 of 132 in Coding, #12 of 133 in Agents & Tool Use, #78 of 195 in Writing & Language, #65 of 124 in Vision & Documents. Strongest at: Coding, Agents & work tasks, Reasoning.
Is MiMo v2.6 Flash better than Gemini 2.5 Flash Preview (Sep '25)?›
On MMMU-Pro (vision), MiMo v2.6 Flash scores 73.1 vs 73.1 — about the same.
How can I use MiMo v2.6 Flash?›
Through the API of Darkbloom, DeepInfra, Io Net, Novita, Relace and 2 more.
What is the context window of MiMo v2.6 Flash?›
1M tokens, with up to 131K output tokens.
When was MiMo v2.6 Flash released? Is there a newer version?›
Released 2026-09-22. It is the current version in its line.
Is MiMo v2.6 Flash open source?›
Yes, the weights are open (MIT licence).
Can I run MiMo v2.6 Flash locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can MiMo v2.6 Flash read images?›
It accepts text and images, audio, video as input.
What is MiMo v2.6 Flash?›
MiMo v2.6 Flash is an open-weights language model from Xiaomi, released Sep 2026, the successor to MiMo-V2-Flash (Feb 2026).
What are the best alternatives to MiMo v2.6 Flash?›
GPT-6 Luna (cheaper), DeepSeek V4.1 Flash 1017 (open weights).